Remote Turkish Quality Assurance Lead role focused on reviewing AI-generated Turkish content, managing contributor quality, maintaining language standards, supporting onboarding, and improving AI training data quality through structured evaluation and feedback.
Cantonese Quality Assurance Lead (QAL)
Hong Kong
Up to $40/hr
June 15, 2026
Job description
About the Role
This is a remote, hourly contractor role for a Cantonese / Traditional Chinese (Hong Kong) Quality Assurance Lead (QAL) responsible for overseeing quality, consistency, and contributor performance across Cantonese / Traditional Chinese (Hong Kong) AI training projects.
You will review AI-generated Cantonese / Traditional Chinese (Hong Kong) content as well as trainer and QA work, evaluate outputs against project guidelines and rubrics, provide actionable feedback, maintain quality documentation, support onboarding, and ensure contributors consistently meet project standards.
Your work will directly impact the quality of Cantonese / Traditional Chinese (Hong Kong)-language training data used by leading AI companies and foundation-model laboratories.
Key Responsibilities
Quality Monitoring
- Review Cantonese / Traditional Chinese (Hong Kong)-language submissions and conduct spot checks
- Identify quality issues, recurring errors, and guideline violations
- Provide clear and actionable feedback to contributors
- Escalate critical or repeated quality concerns
Trainer & QA Communication
- Communicate project updates and workflow changes
- Share new guidelines and quality expectations
- Ensure trainers and QAs remain aligned with project requirements
Question Handling
- Respond to contributor questions promptly
- Clarify instructions, translation requirements, linguistic edge cases, cultural nuances, and Cantonese / Traditional Chinese (Hong Kong) language standards, Cantonese-influenced written Chinese, Hong Kong terminology, English code-switching, and Hong Kong localization standards
- Help contributors understand project expectations and quality standards
Contributor Activation Management
- Follow up with inactive contributors
- Encourage participation and activation
- Track contributor engagement and availability
- Escalate staffing or participation concerns when necessary
Documentation Management
- Create and maintain Cantonese / Traditional Chinese (Hong Kong) style guides, FAQs, trackers, quality notes, example libraries, honeypots, and onboarding materials
- Ensure documentation remains accurate and current
Onboarding & Training
- Conduct onboarding sessions for trainers and QAs
- Explain workflows, rubrics, quality standards, and Cantonese / Traditional Chinese (Hong Kong) language requirements
- Support continuous learning and quality improvement
Quality Alignment
- Ensure consistent application of Cantonese / Traditional Chinese (Hong Kong) language guidelines
- Monitor compliance with evolving requirements
- Promote standardization across contributors and teams
Process Improvement
- Identify recurring quality gaps and recommend workflow enhancements
- Help develop scalable QA systems and best practices for Cantonese / Traditional Chinese (Hong Kong)-language projects
Required Skills & Qualifications
- Native or near-native Cantonese / Traditional Chinese (Hong Kong) proficiency and strong professional English proficiency
- 3+ years of professional experience in Cantonese / Traditional Chinese (Hong Kong) writing, editing, translation, localization, content QA, AI training, education, annotation, or related language-review workflows
- Strong understanding of Cantonese / Traditional Chinese (Hong Kong) grammar, spelling conventions, punctuation, tone, register, and cultural context, Cantonese language usage, Cantonese-influenced written Chinese, Hong Kong terminology, and the ability to identify Simplified Chinese leakage, Taiwan terminology mismatches, and Mainland phrasing
- Ability to identify mistranslations, literal phrasing, unnatural language, hallucinated claims, ambiguity, and terminology inconsistencies
- Ability to evaluate work against detailed rubrics and guidelines
- Strong written communication, feedback, and organizational skills
Preferred Qualifications
- Experience leading or supporting trainers, annotators, editors, reviewers, or QA teams
- Experience with AI training, data annotation, LLM evaluation, prompt/response evaluation, and rubric-based QA
- Familiarity with Discord, Google Docs, Google Sheets, dashboards, and project management systems
- Experience with Traditional Chinese Hong Kong localization, Cantonese AI evaluation, or HK product localization
Additional Information
- Fully remote work
- Flexible schedule
- Weekly payments
- Access to future opportunities through the SME Careers expert network
About SME Careers
SME Careers is an AI data services company and subsidiary of SuperAnnotate that provides training data for many of the world's leading AI companies and foundation-model laboratories.
Apply now
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